摘要
以合肥市某一街区IKONOS影像为例,基于道路中心绿化带信息,提取植被指数,利用边缘检测方法提取绿化带轮廓线,并根据形状指数和面积阈值等方法去除噪声,然后通过缓冲区分析和叠加分析,成功提取了道路信息.结果表明:基于中心绿化带信息的道路提取方法,简单易操作,对于城市遥感中道路提取具有重要推广价值.
By taking streets of Hefei city as a case study,a new approach to road extraction from IKONOS imagery based on the center green belt is presented in this paper.The approach begins with vegetation index extraction.And the edge detection methods are performed to extract the green belt outline.Then the shape index and area threshold are performed to remove noise.Finally,buffer analysis and overlay analysis are used to extract road information completely.The results show that the approach of road extraction based on the center green belt is simple to operate and has an important promotional value for road extraction in urban remote sensing.
出处
《安徽师范大学学报（自然科学版）》
CAS
北大核心
2010年第6期571-575,共5页
Journal of Anhui Normal University(Natural Science)
基金
国家自然科学基金(40771207)
安徽省普通高校人文社会科学重点研究基地项目(07sk109zd)
关键词
道路提取
植被指数
边缘检测
形状指数
road extraction
vegetation index
edge detection
shape index
